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<table class="table" cellspacing="1" cellpadding="7">
<caption class="r systemtitle">Outcomes of Applications for Disability Benefits <br></br> Table 60. <br></br> Outcomes at all adjudicative levels, by year of application, 2008�2017</caption>
 
<thead>
<tr>
<th rowspan="3">Year</th>
<th rowspan="3">Total</th>
<th rowspan="3">Pending final decision</th>
<th rowspan="3">Technical denials <sup>a</sup></th>
<th colspan="4">Medical decisions</th>
<th rowspan="3">Award rate <sup>d</sup> (percent)</th>
<th rowspan="3">Allowance rate <sup>e</sup> (percent)</th>
</tr>
<tr>
<th colspan="2">Denials</th>
<th colspan="2">Allowances</th>
</tr>
<tr>
<th>Medical</th>
<th>Subsequent nonmedical <sup>b</sup></th>
<th>Awards</th>
<th>Subsequent denials <sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td>&nbsp;</td><td class="c notecontent" colspan="9">All&nbsp;disabled&nbsp;beneficiaries</td>
</tr>
<tr>
<td class="l data">2008</td>
<td class="r data">     261,462</td>
<td class="r data">           0</td>
<td class="r data">      71,440</td>
<td class="r data">      47,759</td>
<td class="r data">         775</td>
<td class="r data">     141,107</td>
<td class="r data">         381</td>
<td class="r data">    54.0</td>
<td class="r data">    74.5</td>
</tr>
<tr>
<td class="l data">2009</td>
<td class="r data">     294,811</td>
<td class="r data">           0</td>
<td class="r data">      82,401</td>
<td class="r data">      50,040</td>
<td class="r data">         912</td>
<td class="r data">     161,072</td>
<td class="r data">         386</td>
<td class="r data">    54.6</td>
<td class="r data">    76.0</td>
</tr>
<tr>
<td class="l data">2010</td>
<td class="r data">     319,572</td>
<td class="r data">           0</td>
<td class="r data">      91,480</td>
<td class="r data">      55,526</td>
<td class="r data">       1,418</td>
<td class="r data">     170,700</td>
<td class="r data">         448</td>
<td class="r data">    53.4</td>
<td class="r data">    75.0</td>
</tr>
<tr>
<td class="l data">2011</td>
<td class="r data">     331,529</td>
<td class="r data">         115</td>
<td class="r data">      95,828</td>
<td class="r data">      58,577</td>
<td class="r data">       1,553</td>
<td class="r data">     174,976</td>
<td class="r data">         480</td>
<td class="r data">    52.8</td>
<td class="r data">    74.5</td>
</tr>
<tr>
<td class="l data">2012</td>
<td class="r data">     342,515</td>
<td class="r data">         186</td>
<td class="r data">     103,924</td>
<td class="r data">      60,149</td>
<td class="r data">       1,688</td>
<td class="r data">     176,043</td>
<td class="r data">         525</td>
<td class="r data">    51.4</td>
<td class="r data">    74.1</td>
</tr>
<tr>
<td class="l data">2013</td>
<td class="r data">     332,771</td>
<td class="r data">         383</td>
<td class="r data">     101,165</td>
<td class="r data">      61,407</td>
<td class="r data">       1,741</td>
<td class="r data">     167,559</td>
<td class="r data">         516</td>
<td class="r data">    50.4</td>
<td class="r data">    72.7</td>
</tr>
<tr>
<td class="l data">2014</td>
<td class="r data">     332,116</td>
<td class="r data">         841</td>
<td class="r data">     101,728</td>
<td class="r data">      62,873</td>
<td class="r data">       1,976</td>
<td class="r data">     164,201</td>
<td class="r data">         497</td>
<td class="r data">    49.6</td>
<td class="r data">    71.7</td>
</tr>
<tr>
<td class="l data">2015</td>
<td class="r data">     328,711</td>
<td class="r data">       4,119</td>
<td class="r data">     101,981</td>
<td class="r data">      60,991</td>
<td class="r data">       2,179</td>
<td class="r data">     158,879</td>
<td class="r data">         562</td>
<td class="r data">    48.9</td>
<td class="r data">    71.6</td>
</tr>
<tr>
<td class="l data">2016</td>
<td class="r data">     326,979</td>
<td class="r data">      16,777</td>
<td class="r data">     102,673</td>
<td class="r data">      57,383</td>
<td class="r data">       2,403</td>
<td class="r data">     147,245</td>
<td class="r data">         498</td>
<td class="r data">    47.5</td>
<td class="r data">    71.2</td>
</tr>
<tr>
<td class="l data">2017</td>
<td class="r data">     318,700</td>
<td class="r data">      25,816</td>
<td class="r data">     102,417</td>
<td class="r data">      54,158</td>
<td class="r data">       2,488</td>
<td class="r data">     133,393</td>
<td class="r data">         428</td>
<td class="r data">    45.5</td>
<td class="r data">    70.3</td>
</tr>
<tr>
<td>&nbsp;</td><td class="c notecontent" colspan="9">Workers</td>
</tr>
<tr>
<td class="l data">2008</td>
<td class="r data">     257,888</td>
<td class="r data">           0</td>
<td class="r data">      70,995</td>
<td class="r data">      46,451</td>
<td class="r data">         774</td>
<td class="r data">     139,287</td>
<td class="r data">         381</td>
<td class="r data">    54.0</td>
<td class="r data">    74.7</td>
</tr>
<tr>
<td class="l data">2009</td>
<td class="r data">     291,262</td>
<td class="r data">           0</td>
<td class="r data">      81,957</td>
<td class="r data">      48,731</td>
<td class="r data">         908</td>
<td class="r data">     159,280</td>
<td class="r data">         386</td>
<td class="r data">    54.7</td>
<td class="r data">    76.3</td>
</tr>
<tr>
<td class="l data">2010</td>
<td class="r data">     315,689</td>
<td class="r data">           0</td>
<td class="r data">      90,801</td>
<td class="r data">      54,209</td>
<td class="r data">       1,412</td>
<td class="r data">     168,820</td>
<td class="r data">         447</td>
<td class="r data">    53.5</td>
<td class="r data">    75.3</td>
</tr>
<tr>
<td class="l data">2011</td>
<td class="r data">     327,525</td>
<td class="r data">         112</td>
<td class="r data">      95,215</td>
<td class="r data">      57,270</td>
<td class="r data">       1,546</td>
<td class="r data">     172,904</td>
<td class="r data">         478</td>
<td class="r data">    52.8</td>
<td class="r data">    74.7</td>
</tr>
<tr>
<td class="l data">2012</td>
<td class="r data">     335,823</td>
<td class="r data">         180</td>
<td class="r data">     102,008</td>
<td class="r data">      58,872</td>
<td class="r data">       1,670</td>
<td class="r data">     172,575</td>
<td class="r data">         518</td>
<td class="r data">    51.4</td>
<td class="r data">    74.1</td>
</tr>
<tr>
<td class="l data">2013</td>
<td class="r data">     326,572</td>
<td class="r data">         379</td>
<td class="r data">      99,505</td>
<td class="r data">      60,225</td>
<td class="r data">       1,723</td>
<td class="r data">     164,227</td>
<td class="r data">         513</td>
<td class="r data">    50.3</td>
<td class="r data">    72.7</td>
</tr>
<tr>
<td class="l data">2014</td>
<td class="r data">     326,066</td>
<td class="r data">         836</td>
<td class="r data">     100,172</td>
<td class="r data">      61,803</td>
<td class="r data">       1,955</td>
<td class="r data">     160,807</td>
<td class="r data">         493</td>
<td class="r data">    49.4</td>
<td class="r data">    71.7</td>
</tr>
<tr>
<td class="l data">2015</td>
<td class="r data">     322,667</td>
<td class="r data">       4,085</td>
<td class="r data">     100,510</td>
<td class="r data">      59,997</td>
<td class="r data">       2,158</td>
<td class="r data">     155,360</td>
<td class="r data">         557</td>
<td class="r data">    48.8</td>
<td class="r data">    71.5</td>
</tr>
<tr>
<td class="l data">2016</td>
<td class="r data">     321,703</td>
<td class="r data">      16,680</td>
<td class="r data">     101,304</td>
<td class="r data">      56,574</td>
<td class="r data">       2,389</td>
<td class="r data">     144,262</td>
<td class="r data">         494</td>
<td class="r data">    47.3</td>
<td class="r data">    71.1</td>
</tr>
<tr>
<td class="l data">2017</td>
<td class="r data">     313,691</td>
<td class="r data">      25,703</td>
<td class="r data">     101,173</td>
<td class="r data">      53,389</td>
<td class="r data">       2,477</td>
<td class="r data">     130,522</td>
<td class="r data">         427</td>
<td class="r data">    45.3</td>
<td class="r data">    70.1</td>
</tr>
<tr>
<td>&nbsp;</td><td class="c notecontent" colspan="9">Widow(er)s</td>
</tr>
<tr>
<td class="l data">2008</td>
<td class="r data">       3,118</td>
<td class="r data">           0</td>
<td class="r data">         388</td>
<td class="r data">       1,114</td>
<td class="r data">           0</td>
<td class="r data">       1,616</td>
<td class="r data">           0</td>
<td class="r data">    51.8</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2009</td>
<td class="r data">       2,995</td>
<td class="r data">           0</td>
<td class="r data">         (X)</td>
<td class="r data">       1,083</td>
<td class="r data">         (X)</td>
<td class="r data">       1,532</td>
<td class="r data">           0</td>
<td class="r data">    51.2</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2010</td>
<td class="r data">       3,168</td>
<td class="r data">           0</td>
<td class="r data">         565</td>
<td class="r data">       1,055</td>
<td class="r data">         (X)</td>
<td class="r data">       1,543</td>
<td class="r data">         (X)</td>
<td class="r data">    48.7</td>
<td class="r data">    59.3</td>
</tr>
<tr>
<td class="l data">2011</td>
<td class="r data">       3,206</td>
<td class="r data">         (X)</td>
<td class="r data">         509</td>
<td class="r data">       1,096</td>
<td class="r data">           5</td>
<td class="r data">       1,592</td>
<td class="r data">         (X)</td>
<td class="r data">    49.7</td>
<td class="r data">    59.1</td>
</tr>
<tr>
<td class="l data">2012</td>
<td class="r data">       4,223</td>
<td class="r data">           6</td>
<td class="r data">       1,148</td>
<td class="r data">       1,059</td>
<td class="r data">          13</td>
<td class="r data">       1,990</td>
<td class="r data">           7</td>
<td class="r data">    47.2</td>
<td class="r data">    65.1</td>
</tr>
<tr>
<td class="l data">2013</td>
<td class="r data">       3,700</td>
<td class="r data">         (X)</td>
<td class="r data">         977</td>
<td class="r data">         960</td>
<td class="r data">          14</td>
<td class="r data">       1,742</td>
<td class="r data">         (X)</td>
<td class="r data">    47.1</td>
<td class="r data">    64.2</td>
</tr>
<tr>
<td class="l data">2014</td>
<td class="r data">       3,436</td>
<td class="r data">           0</td>
<td class="r data">         889</td>
<td class="r data">         857</td>
<td class="r data">          13</td>
<td class="r data">       1,673</td>
<td class="r data">           4</td>
<td class="r data">    48.7</td>
<td class="r data">    65.8</td>
</tr>
<tr>
<td class="l data">2015</td>
<td class="r data">       3,180</td>
<td class="r data">          28</td>
<td class="r data">         810</td>
<td class="r data">         777</td>
<td class="r data">          12</td>
<td class="r data">       1,549</td>
<td class="r data">           4</td>
<td class="r data">    49.1</td>
<td class="r data">    66.3</td>
</tr>
<tr>
<td class="l data">2016</td>
<td class="r data">       2,792</td>
<td class="r data">          79</td>
<td class="r data">         733</td>
<td class="r data">         648</td>
<td class="r data">         (X)</td>
<td class="r data">       1,321</td>
<td class="r data">         (X)</td>
<td class="r data">    48.7</td>
<td class="r data">    66.8</td>
</tr>
<tr>
<td class="l data">2017</td>
<td class="r data">       2,602</td>
<td class="r data">          81</td>
<td class="r data">         635</td>
<td class="r data">         582</td>
<td class="r data">         (X)</td>
<td class="r data">       1,295</td>
<td class="r data">         (X)</td>
<td class="r data">    51.4</td>
<td class="r data">    68.7</td>
</tr>
<tr>
<td>&nbsp;</td><td class="c notecontent" colspan="9">Adult&nbsp;children</td>
</tr>
<tr>
<td class="l data">2008</td>
<td class="r data">         456</td>
<td class="r data">           0</td>
<td class="r data">         (X)</td>
<td class="r data">         194</td>
<td class="r data">         (X)</td>
<td class="r data">         204</td>
<td class="r data">           0</td>
<td class="r data">    44.7</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2009</td>
<td class="r data">         554</td>
<td class="r data">           0</td>
<td class="r data">         (X)</td>
<td class="r data">         226</td>
<td class="r data">         (X)</td>
<td class="r data">         260</td>
<td class="r data">           0</td>
<td class="r data">    46.9</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2010</td>
<td class="r data">         715</td>
<td class="r data">           0</td>
<td class="r data">         (X)</td>
<td class="r data">         262</td>
<td class="r data">         (X)</td>
<td class="r data">         337</td>
<td class="r data">           0</td>
<td class="r data">    47.1</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2011</td>
<td class="r data">         798</td>
<td class="r data">         (X)</td>
<td class="r data">         (X)</td>
<td class="r data">         211</td>
<td class="r data">         (X)</td>
<td class="r data">         480</td>
<td class="r data">           0</td>
<td class="r data">    60.2</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2012</td>
<td class="r data">       2,469</td>
<td class="r data">           0</td>
<td class="r data">         768</td>
<td class="r data">         218</td>
<td class="r data">           5</td>
<td class="r data">       1,478</td>
<td class="r data">           0</td>
<td class="r data">    59.9</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2013</td>
<td class="r data">       2,499</td>
<td class="r data">           0</td>
<td class="r data">         683</td>
<td class="r data">         222</td>
<td class="r data">           4</td>
<td class="r data">       1,590</td>
<td class="r data">           0</td>
<td class="r data">    63.6</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2014</td>
<td class="r data">       2,614</td>
<td class="r data">           5</td>
<td class="r data">         667</td>
<td class="r data">         213</td>
<td class="r data">           8</td>
<td class="r data">       1,721</td>
<td class="r data">           0</td>
<td class="r data">    66.0</td>
<td class="r data">     0.0</td>
</tr>
<tr>
<td class="l data">2015</td>
<td class="r data">       2,864</td>
<td class="r data">         (X)</td>
<td class="r data">         661</td>
<td class="r data">         217</td>
<td class="r data">           9</td>
<td class="r data">       1,970</td>
<td class="r data">         (X)</td>
<td class="r data">    68.9</td>
<td class="r data">    89.7</td>
</tr>
<tr>
<td class="l data">2016</td>
<td class="r data">       2,484</td>
<td class="r data">          18</td>
<td class="r data">         636</td>
<td class="r data">         161</td>
<td class="r data">         (X)</td>
<td class="r data">       1,662</td>
<td class="r data">         (X)</td>
<td class="r data">    67.4</td>
<td class="r data">    90.9</td>
</tr>
<tr>
<td class="l data">2017</td>
<td class="r data">       2,407</td>
<td class="r data">          32</td>
<td class="r data">         609</td>
<td class="r data">         187</td>
<td class="r data">           3</td>
<td class="r data">       1,576</td>
<td class="r data">           0</td>
<td class="r data">    66.4</td>
<td class="r data">     0.0</td>
</tr>
</tbody>
<tfoot>
<tr>
<td colspan="10" class="footer">SOURCE: Social Security Administration, Disability Research file, 100 percent data. <br></br> NOTES: Data for the initial and reconsideration levels are current through June 2018. Data for the hearing level or above are current through July 2018. <br></br> Because a number of applications remain pending for more recent years, the award and allowance rates will change over time. Cases can be pending at the initial or appellate levels and can include either medical or technical issues. <br></br> Data include decisions for Social Security�only applications and applications for both Social Security and Supplemental Security Income (SSI); they do not include SSI-only applications. <br></br> Data from 1992 through 1998 are available for disabled workers only. <br></br> a. Applications were denied for nonmedical reasons; therefore no decision was made on severity of impairment. <br></br> b. Applications were denied for nonmedical reasons after a decision was made that the applicant did not meet the medical severity criteria for disability benefits. <br></br> c. Applications were denied for nonmedical reasons after a decision was made that the applicant met the medical severity criteria for disability benefits. <br></br> d. Rate determined by dividing awards by all applications minus pending claims for that year. <br></br> e. Rate determined by dividing medical allowances by all medical decisions for that year. <br></br> CONTACT: (410) 965-0090 or statistics@ssa.gov.
</td>
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</tfoot>
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